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3-D Localization of an Autonomous Underwater Vehicle Using Extended Kalman Filter

Jong Hwan Lim, Chul Ung Kang
JKSPE 2004;21(7):130-135.
Published online: July 1, 2004
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This paper presents a 3-D localization of an autonomous underwater vehicle(AUV). Conventional methods of localization, such as LBL or SBL, require additional beacon systems, which reduces the flexibility and availability of the AUV. We use a digital compass, a pressure sensor, a clinometer and ultrasonic sensors for localization. From the orientation and velocity information, a priori position of the AUV is estimated based on the dead reckoning. With the aid of extended Kalman filter algorithm, a posteriori position of the AUV is estimated by using the distance between the AUV and a mother ship on the surface of the water together with the water depth information from the pressure sensor. Simulation results show the possibility of practical application of the method to autonomous navigation of the AUV

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3-D Localization of an Autonomous Underwater Vehicle Using Extended Kalman Filter
J. Korean Soc. Precis. Eng.. 2004;21(7):130-135.   Published online July 1, 2004
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

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3-D Localization of an Autonomous Underwater Vehicle Using Extended Kalman Filter
J. Korean Soc. Precis. Eng.. 2004;21(7):130-135.   Published online July 1, 2004
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